EVACUATION MODEL FOR EMERGENCY VEHICLES IN HIGHWAYS

2009 ◽  
Vol 20 (01) ◽  
pp. 59-69 ◽  
Author(s):  
NAJEM MOUSSA
Keyword(s):  
Cellular Automata ◽  
Cellular Automaton ◽  
Traffic Flow ◽  
Cellular Automaton Model ◽  
Emergency Vehicle ◽  
Lane Changing ◽  
Cellular Automata Model ◽  
Emergency Vehicles ◽  
Evacuation Model

In this paper, we propose a cellular automaton model for the evacuation of an emergency vehicle (EV) in highways. To facilitate the evacuation of the EV, some additional lane-changing rules (pull over of ordinary vehicles) are introduced in a two-lane cellular automata model for traffic flow in highway. We find that this pulling over of ordinary vehicles promotes a faster moving of the EV in traffic flow and minimize the EV's impact on the overall traffic.

An Improved Cellular Automaton Model of Traffic Regulations and the Effect of Deceleration Probability

2014 ◽  
Vol 721 ◽  
pp. 62-65 ◽  
Author(s):  
Lu Chao Han
Keyword(s):  
Mathematical Model ◽  
Cellular Automata ◽  
Cellular Automaton ◽  
Traffic Flow ◽  
Cellular Automaton Model ◽  
Psychological State ◽  
Transportation Safety ◽  
Mathematical Form ◽  
Lane Changes ◽  
Traffic Rule

In order to evaluate the keep-right-except-to-pass traffic rule, which is in effect in most countries, a suitable mathematical model is necessary. With the help the following model, analysts can objectively evaluate the effects and benefits of various driving regulations and rules. We formalize the situation in which automobiles are being driven on a multi-lane freeway as a process of cellular automata (CA). Following the methods used in the studies of Kerner and Barlovic and using the NaSch model, we formalize the keep-right-except-to-pass rule into mathematical form. We set the driving strategy by adopting the Velocity-Dependent-Randomization (VDR) model, considering the driver’s psychological state with respect to his desire to slow down behind, or to pass, another automobile. Adding stochastic factors during the analysis of the driving process, we examined mathematically the effects of traffic flow, the utilization of lanes, and transportation safety which mostly depends on the frequency of lane changes, to evaluate the keep-right rule.

CELLULAR AUTOMATON MODELS FOR MIXED TRAFFIC FLOW CONSIDERING PASSAGE WAY OF EMERGENCY VEHICLE

2013 ◽  
Vol 27 (08) ◽  
pp. 1350052 ◽  
Author(s):  
HAN-TAO ZHAO ◽  
HONG-YAN MAO ◽  
RUI-JIN HUANG
Keyword(s):  
Cellular Automaton ◽  
Traffic Flow ◽  
Average Density ◽  
Vehicle Speed ◽  
Emergency Vehicle ◽  
Mixed Traffic ◽  
Mixed Traffic Flow ◽  
The Road ◽  
Emergency Vehicles ◽  
Computer Numerical Simulation

Two kinds of cellular automaton models are proposed for mixed traffic flow with emphasis on emergency vehicles. By analyzing the characteristics of ordinary vehicles in giving way to emergency vehicles, the rules for changing lanes are modified. Computer numerical simulation results indicate that an emergency vehicle without changing lanes can enhance speed with density lower than 0.1, while its speed can be enhanced by changing lane with density greater than 0.1. Meanwhile, vehicle speed and density within a certain range around emergency vehicles are lower than the road section average velocity and average density. The passage way of emergency vehicle that facilitate lane change causes less interference than that of an emergency vehicle which is unable to change lane. The study found that the physical characteristics of traffic flow when there are emergency vehicles are significantly different from routine traffic flow. Emergency vehicles can facilitate their passage by changing lanes at a medium or high density.

Study on Simulation Model of the Cellular Automaton for Passive Lane-Changing Based on the Avoidance of the Prospective Following Vehicle

2011 ◽  
Vol 268-270 ◽  
pp. 1627-1632
Author(s):  
Jing Bian ◽  
Hong Zhuang ◽  
Wei Li
Keyword(s):  
Simulation Model ◽  
Cellular Automaton ◽  
Traffic Flow ◽  
Traffic Simulation ◽  
Hybrid Vehicles ◽  
Cellular Automaton Model ◽  
Lane Changing ◽  
Cellular Automation ◽  
Simulation Results ◽  
Cellular Automation Model

It is the key fact for the accuracy of traffic simulation that the cellular automation model of traffic flow could simulate the real hybrid traffic flow. This article shows the method to improve cellular automaton model about two-lane hybrid vehicles based on passive lane-changing, to propose the avoidance rules about the prospective following vehicle, and to suggest the cellular automaton model and evolution rules based on the prospective following vehicle’s avoider. The simulation results show that the erroneous judgment rate for changing lane is the important facts for the state of two-lane hybrid traffic flow, and the accuracy of the simulation is improved in this article.

A Study of the Keep-Right-Except-to-Pass Traffic Rule on Cellular Automata

2014 ◽  
Vol 989-994 ◽  
pp. 2470-2473
Author(s):  
Wen Bin Cao
Keyword(s):  
Cellular Automata ◽  
Cellular Automaton ◽  
Traffic Flow ◽  
Large Scale ◽  
Cellular Automaton Model ◽  
Driving Safety ◽  
Average Speed ◽  
Object A ◽  
Flow Through ◽  
Traffic Rule

Traffic rule is set to enable the safety and efficiency of the traffic. This paper takes the keep-right-except-to-pass rule as the research object. A three-lane cellular automaton model is proposed to simulate traffic flow. Through computer simulating, we analyze the relationships among traffic flow, overtaking ratio, average speed and density. The result shows that the rule although can increase the traffic flow and the average speed, the effect is not very evident, while this rule instead can increase driving safety in a large scale.

Mutil-Conditions Impress Nonsingular Dimensional Cellular Automaton on Traffic Flow

2014 ◽  
Vol 926-930 ◽  
pp. 3455-3458
Author(s):  
Li Na Liu ◽  
Jie Wang ◽  
Chang Sheng Zhu ◽  
Ting Jing
Keyword(s):  
Cellular Automata ◽  
Traffic Flow ◽  
Flow Characteristics ◽  
Open Boundary ◽  
Open Boundary Conditions ◽  
Lane Changing ◽  
Cellular Automata Model ◽  
Traffic Lights ◽  
Traffic Flow Characteristics ◽  
The Relationship

This paper is based on Nagel-Schreckenberg cellular automata model as the foundation, in the open boundary conditions, the traffic vehicle redirecting probability and before lane changing rules get to intersection will produce certain effect to interference with intersection , and so as to builds up the nonsingular cellular automata model. Through the research to redirecting probability, lane changing rules and the settings of traffic lights play a part in traffic flow characteristics, and points out the influence of phase change point position ,and at the same time, traffic lights timing differences can reduce vehicle interference to increase traffic flow, at the same time, play a analysis the critical redirecting probability of traffic flow in controlling significance, and points out the relationship between the critical point of Lane changing probability and traffic flow influence ,and lane-changing rules is correspond to the basic line of vehicles running.

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